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Research Article
From Phishing to Prompt Bombing: Innovative Game-Theoretic Solutions for Modern Cyber Threats
The rise of multi-factor authentication (MFA) has significantly enhanced cybersecurity postures, yet its effectiveness is increasingly challenged by sophisticated social engineering attacks, particularly those exploiting MFA fatigue. MFA fatigue, a tactic where attackers inundate users with authenti...
Research Article
Exploration of the Reform of Comprehensive Practice Course in Advanced Programming Driven by Large Models
The rapid advancement of AI and large language models has placed newer and higher demands on comprehensive programming practice courses in higher education. Significant shifts in students' learning styles, knowledge acquisition channels, and innovative capabilities have rendered traditional curricul...
Research Article
VNNPF: A Variational Neural Network with Planar Flow for Robust IMU-GPS Fusion and Trajectory Estimation
Accurate state estimation for dynamic targets is essential in fields such as target tracking, navigation, and autonomous driving. However, traditional estimation models struggle to handle the nonlinear motion patterns and sensor noise prevalent in real-world environments. To address these challenges...
Review Article
Bio-Inspired Machine Learning for Enhanced EMG Signal Analysis
Electromyography (EMG) signals provide critical insights into neuromuscular function, yet their analysis remains challenging due to inherent noise, inter-subject variability, and non-stationary characteristics. Bio-inspired artificial intelligence (AI) models, drawing computational principles from b...
Research Article
Asynchronous Intermittent Event-Triggered Control for a Class of Coupled Stochastic Strict-Feedback Nonlinear Systems
This paper investigates a class of coupled stochastic strict-feedback nonlinear systems under asynchronous intermittent event-triggered control (AIETC). Initially, stochastic analysis technique, Lyapunov method and backstepping design method are employed to design the virtual and actual controllers....
Research Article
Short-Term Load Forecasting with Taguchi-Optimized Single-Layer Feedforward Neural Networks: A MATLAB GUI
This paper proposes a Taguchi-based optimization framework for short-term load forecasting (STLF) using single-layer feedforward neural networks (SLFNs). Although SLFNs are computationally efficient, their accuracy strongly depends on proper hyperparameter configuration, which is often selected thro...
Research Article
Power Quality of the 50 MW PV Power Plant
This paper presents a power quality analysis of a 50 MW photovoltaic (PV) power plant connected to a 220 kV overhead transmission line in a Southeast European country. The analysis covers a seven-day measurement period. Voltage quality is assessed in accordance with the requirements of the grid code...
Research Article
Applications of Curve Fitting Techniques in Inertia Estimation of Power System
The integration of renewable energy sources (RES) into modern power systems is transforming the traditional reliance on synchronous generators, leading to a greener energy portfolio while posing significant challenges to system stability due to reduced inertia. Diminished system inertia results in e...
Research Article
Perception on the Instruction of Traditional Sports Games in Congo Brazzaville High School of Physical Education Instructor, Academic Advisor and Academic Inspector
This study examines the perceptions of three key stakeholder groups—Physical Education (PE) instructors, academic advisors, and educational inspectors—regarding the integration of Traditional Sports Games (TSG) into the high school curriculum in the Republic of the Congo. Semi-structured interviews...
Research Article
Mechanism of Energy Investment on Regional Growth Potential——A Study on the Mediating Effect of Industrial Structure and Energy Consumption
Based on panel data of 31 provinces in China, this paper explores the impact mechanism of energy investment on regional growth potential, using HP filtering method, XGBoost regression model, panel data preprocessing techniques, and chain mediating effect test . The results show that there are struct...